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2024 Conference article Open Access OPEN
D4Science: advancing ocean science through collaborative data analysis
Assante M., Candela L., Frosini L., Mangiacrapa F., Molinaro E., Pagano P.
In the realm of ocean science, addressing intricate challenges necessitates collaborative analysis of extensive datasets. This underscores the significance of infrastructures that facilitate multidisciplinary collaboration, effective communication, and timely data sharing. D4Science [Assante et al., 2019], an operational infrastructure initiated 18 years ago with European Commission funding, has evolved into an efficient solution. Utilizing the “as a Service” paradigm, D4Science provides web­accessible Virtual Laboratories [Assante et al., 2023; Candela et al., 2023] (VLabs) that proved to be also suitable for ocean science collaboration [Schaap et al., 2022]. These VLabs simplify access to marine datasets, concealing underlying complexities. Key functionalities include a cloud­based Workspace for file organization, a platform for large­scale data analysis on a distributed computing infrastructure, a catalog for publishing research results, and a communication system based on social network practices. D4Science has been actively supporting diverse marine and ocean science Virtual Laboratories (VLabs), adapting to evolving research needs. Notable initiatives include contributions to the European Open Science Cloud (EOSC), starting with the ‘Blue­Cloud’ project in 2020 and its subsequent extension, ‘Blue­Cloud2026.’ In 2015, D4Science played a pivotal role in the BlueBRIDGE Horizon 2020 Project, which aimed to provide user­friendly data services and tools for the aquaculture, fisheries, and environmental sectors. Additionally, in 2013, D4Science contributed to the iMarine FP7 Project, which has since evolved into the current iMarine initiative. This ongoing effort is dedicated to establishing and operating an e­infrastructure that aligns with the principles of the ecosystem approach to fisheries management and the conservation of marine living resources, further supporting the Food and Agriculture Organization’s (FAO) Blue Growth Initiative. D4Science is currently supporting over 20 scientific communities and over 150 VLabs, and pioneers Open Science in ocean research. It fosters collaboration, offers user­friendly environments, and provides service for accessing, sharing, analyzing, and publishing oceanographic data. A detailed description of these services is given in the followingSource: MISCELLANEA INGV, pp. 284-286. Bergen (Norway), 27-29/05/2024
Project(s): Blue-Cloud 2026 via OpenAIRE

See at: CNR IRIS Open Access | imdis.seadatanet.org Open Access | CNR IRIS Restricted


2024 Other Open Access OPEN
SoBigData++ - SoBigData e-Infrastructure Operation Report 3
Assante M., Candela L., Dell'Amico A., Frosini L., Mangiacrapa F., Molinaro E., Oliviero A., Pagano P., Panichi G., Piccioli T.
This Deliverable builds upon and updates the previous reports, D9.2 - “SoBigData e-Infrastructure Operation Report 2” [5] and D9.1 - “SoBigData e-Infrastructure Operation Report 1” [3]. The SoBigData e-Infrastructure has been pivotal in enabling the core services and research support required for the SoBigData++ project, including Virtual Research Environments (VREs), the Catalogue, and Analytics Services. It is accessible through the SoBigData gateway (https://sobigdata.d4science.org), which provides end-users with seamless access to tools, datasets, and services. The SoBigData e-Infrastructure is built upon the D4Science infrastructure, offering a comprehensive platform that facilitates collaborative, transparent, and interdisciplinary research. The deployment and operation of VREs followed a well-defined procedure, leveraging the consolidated process inherited from D4Science. Throughout the 60 months of the project, a total of 27 VREs were created and operated to meet project and community needs. These VREs were classified into five categories: Exploratories, Applications, Virtual Labs, Training, and Management. Notable examples include, (i) SoBigDataLab and SoBigDataLab-PlusPlus for method development and experiments, (ii) Training VREs created for events like Summer Schools and specialised workshops, and (iii) Research spaces (formerly known as Exploratories) supporting targeted domains, such as Migration Studies, Sports Data Science, and Social Impacts of AI. The SoBigData Catalogue (https://sobigdata.d4science.org/catalogue-sobigdata) emerged as a critical resource for both human users and integrated services, enabling access to datasets, services, and analytical methods. The catalogue supports customisable item profiles enriched with metadata fields, controlled vocabularies, and validation rules. By end of term, the Catalogue recorded significant growth, particularly in key item types such as Methods (192 items) and Datasets (250 items). This expansion underscores the Catalogue’s role in promoting resource discoverability and supporting research workflows. Its usage indicators demonstrate its active adoption, with 31,909 total accesses, 29,595 metadata views, and 4,171 resource views recorded. Monthly trends reveal consistent engagement, highlighting its importance in the research ecosystem. The Social Mining Analytics Engine (SMAE) transitioned through the development of a new service, namely Cloud Computing Platform (CCP), offering enhanced scalability and automation through container orchestrations. Methods hosted on the SMAE span multiple categories, such as Text Processing, Web Analytics, and Image Analysis. Over the last year, the platform executed an average of 6.4 million method invocations per month, peaking at 16 million executions in July 2024. As of mid-December ’24, the e-infrastructure serves more than 13,000 users, with an overall trend in the use of the SoBigData VREs from January 2020 to December 2024, highlighting their importance for the research community. The steady engagement through 2023 and 2024, with peaks like July 2024 (2,592 sessions), underscores the VREs continued relevance and utility.Project(s): SoBigData-PlusPlus via OpenAIRE

See at: CNR IRIS Open Access | CNR IRIS Restricted


2024 Journal article Open Access OPEN
A semantic knowledge graph of European mountain value chains
Bartalesi Lenzi V., Coro G., Lenzi E., Pratelli N., Pagano P., Moretti M., Brunori G.
The United Nations forecast a significant shift in global population distribution by 2050, with rural populations projected to decline. This decline will particularly challenge mountain areas' cultural heritage, well-being, and economic sustainability. Understanding the economic, environmental, and societal effects of rural population decline is particularly important in Europe, where mountainous regions are vital for supplying goods. The present paper describes a geospatially explicit semantic knowledge graph containing information on 454 European mountain value chains. It is the first large-size, structured collection of information on mountain value chains. Our graph, structured through ontology-based semantic modelling, offers representations of the value chains in the form of narratives. The graph was constructed semi-automatically from unstructured data provided by mountain-area expert scholars. It is accessible through a public repository and explorable through interactive Story Maps and a semantic Web service. Through semantic queries, we demonstrate that the graph allows for exploring territorial complexities and discovering new knowledge on mountain areas' environmental, societal, territory, and economic aspects that could help stem depopulation.Source: SCIENTIFIC DATA, vol. 11
Project(s): Mountain Valorization through Interconnectedness and Green Growth

See at: CNR IRIS Open Access | www.nature.com Open Access | CNR IRIS Restricted


2024 Other Open Access OPEN
Blue-Cloud VRE operation report
Assante M., Candela L., Calanducci A., Cirillo R., Dell’amico A., Frosini L., Lelii L., Molinaro E., Mangiacrapa F., Oliviero A., Pagano P., Panichi G., Piccioli T.
The Horizon Europe Blue-Cloud initiative started in 2019 with the aim of creating a European Open Science Cloud for marine data. This involves federating data and e-infrastructures to provide data products and technologies as open science resources for the wider marine research community. Since 2023, the Blue-Cloud 2026 follow-up project has sought to further evolve this pilot ecosystem into a Federated European Ecosystem, offering FAIR and open data and analytical services crucial for advancing research on oceans, EU seas, and coastal and inland waters. Building on the pilot Blue-Cloud project, the current technical framework is designed to be extensible and open, continually evolving to meet the community's needs. The Blue-Cloud platform architecture comprises two major components: (a) the Blue-Cloud Data Discovery and Access Service (DDAS) component, which facilitates federated discovery and access to 'blue data' infrastructures, and (b) the Blue-Cloud Virtual Research Environment (VRE) component, which provides a Blue-Cloud VRE as a federation of computing platforms and analytical services. The VLabs leverage both DDAS and VRE, co-created with leading marine researchers to demonstrate the power of the Blue-Cloud Open Science platform through real-life scientific cases. \ This deliverable focuses on the VRE operation, specifically on how the VRE services have been utilised and managed to support the development of the Blue-Cloud VRE gateway (https://blue-cloud.d4science.org), its underlying infrastructure, and the VLabs on top of it, during the reporting period from January 2023 (M1) to June 2024 (M18). A total of 13 VLabs were created and operated to meet the needs arising from the Blue-Cloud 2026 project. Additionally, 7 VLabs from the previous Blue-Cloud project are being maintained. These working environments serve more than 1,700 users from 34 countries. Between January 2023 and June 2024, users initiated more than 26,000 working sessions via the Blue-Cloud VRE, averaging 1,447 sessions per month. Operating the VRE and VLabs involves managing support requests, issues, and incidents. A total of 143 tickets have been created and managed in the Blue-Cloud Project Issue Trackers (23 in the project consortium tracker and 120 in the support tracker), with 85% of these tickets closed. Additionally, 24 tickets related to Blue-Cloud have been created within the D4Science overall context, with an 88% closure rate.Project(s): Blue-Cloud 2026 via OpenAIRE

See at: CNR IRIS Open Access | CNR IRIS Restricted


2024 Conference article Restricted
New Tools for Geo-scientific Data Management in the Framework of the ITINERIS Project Leveraging D4Science e-Infrastructure Capabilities.
Gennaro S., Di Giuseppe P., Perrone E., Agostini S., Trumpy E., Assante M., Candela L., Pagano P., Procaccini M., Coro G., Provenzale A.
Open Science is a cultural movement based on transparency, inclusion, research integrity, collaboration, and cooperative work, promoting an enhancing approach to science. Benefits are expected from this approach, although doing open science can entail a contrast with several barriers, including: (i) cultural factors (e.g., the fear of the loss of control of the datasets); (ii) cost-base factors; and (iii) disincentive factors (Assante et al., 2019; 2023). The effectiveness of the Open Science approach of a project can be enhanced by using the D4Science infrastructure. This infrastructure promotes collaboration and cooperative work with Virtual Research Environments (VREs). As part of the ITINERIS Project, a comprehensive Italian Research Infrastructures (RDIs) hub in the geoscientific and environmental fields is under development, in which teams with a high level of trans-disciplinarity are working on the development of thematic VREs for topics that includes: (i) Critical Zone (CZ) VRE; (ii) Aquatic Biomass services (BIOMASS) VRE; (iii) Crops, Plants and Pests services (CPP VRE); (iv) Essential Variables (EV VRE); (v) Aerosol-biosphere (AERO VRE); (vi) Carbon Cycle services (CARBON VRE); (vii) Indicators and Impacts of Climate Change (CLIMA VRE); (viii) Downstream Effects of Environmental Change (DOWNSTREAM VRE); (ix) Isotope Database (ISOTOPE VRE). VREs are based on the D4Science infrastructure, and their development is based on the needs of the scientific communities and the specific stakeholders identified by the researcher. VREs are new eScience facilities that address scientifically and socially relevant topics, especially through the sharing of information and data produced. Research data and results products following international standards are managed and shared with the members of the VREs. In this context, these D4Science enabled VREs will become tools supporting the entire spectrum of the research lifecycle. Specifically, for data collection (i) the Collaborative Storage Framework promotes teamwork among users and offers a collaborative space to share digital objects. For data analytics, (ii) the Analytics Engine Framework equips VREs with Cloud Computing Platforms. For data publishing, (iii) the Publishing Framework facilitates the dissemination of research outcomes by means of the Metadata Catalogue and the Spatial Data Catalogue, which help organise and make research results available to the broader scientific community. Moreover, VREs are planned with a modular structure with semantic services for data discovery, harmonization and interoperability, and will contribute to share workflows, procedures and analysis tools which could be applied to analyse new datasets by the members of the VRE. Data from multiple sources, analysis and modelling tools will be integrated into the VREs, allowing users to gain insights into the problems at hand and add their data and analysis methods to respond to the changing scientific and practical needs.

See at: CNR IRIS Restricted | CNR IRIS Restricted | www.socgeol.it Restricted


2024 Other Open Access OPEN
Dataset per il Geoportale Nazionale per l'Archeologia - Guida al Data-Viewer
Vannini G. L., Mangiacrapa F., Pagano P., Candela L.
The Dataset for the National Geoportal for Archeology (D4GNA) is a digital platform that allows access and consultation of archaeological data coming from 'Surveys carried out under concession regime (in Italian territory)' and from 'Italian archaeological missions to abroad'. This guide provides the necessary instructions to consult the datasets, navigate the interactive cartography and download the data. To access the D4GNA, you need to connect to the official website https://gna.d4science.org/.DOI: 10.5281/zenodo.12531823
Project(s): ARIADNEplus via OpenAIRE
Metrics:


See at: CNR IRIS Open Access | CNR IRIS Restricted


2024 Other Open Access OPEN
Dataset per il Geoportale Nazionale per l’Archeologia - Guida al sistema D4GNA
Vannini G. L., Mangiacrapa F., Candela L., Pagano P.
The Dataset for the National Geoportal for Archeology (D4GNA) is a digital platform that allows access and consultation of archaeological data coming from 'Surveys carried out under concession regime (in Italian territory)' and from 'Italian archaeological missions to abroad'. This guide provides the necessary instructions for consulting the datasets, navigating the interactive cartography and inserting, modifying or deleting a survey project by excavation concessionaires. To access the D4GNA, it is necessary to connect to the official website https://gna.d4science.org/ and authenticate using credentials provided by the authorized institutions.DOI: 10.5281/zenodo.12530857
Project(s): ARIADNEplus via OpenAIRE
Metrics:


See at: CNR IRIS Open Access | CNR IRIS Restricted


2024 Contribution to conference Open Access OPEN
Blue-Cloud 2026 - Virtual Research Environment service
Assante M., Candela L., Frosini L., Mangiacrapa F., Molinaro E., Pagano P.
Blue­Cloud Virtual Research Environment Service The Blue­Cloud Virtual Research Environment (VRE) is one of the two main components of the Blue­Cloud technical framework, next to the Blue­Cloud Data Discovery and Access Service (DDAS). The Blue­Cloud VRE components are developed and operated by relying on the D4Science infrastructure [Assante et al., 2019; 2023; Candela et al., 2023] and range from services to promote the collaboration among its users to services supporting the execution of analytics tasks embedded in a distributed computing infrastructure, and to services enabling the co­creation of entire Virtual Laboratories (VLabs), also interoperable with the Blue­Cloud DDAS. The VRE services are instrumental in advancing Open Science practices within VLabs, empowering researchers to harness the advantages of state­of­the­art e­infrastructures. By leveraging these services, researchers can capitalise on the power of the Cloud and of einfrastructures, driving scientific progress and enabling collaborative research efforts within the realm of Open Science.Source: MISCELLANEA INGV, vol. 80, pp. 240-241. Bergen, Norway, 27-29/05/2024
Project(s): Blue-Cloud 2026 via OpenAIRE

See at: editoria.ingv.it Open Access | CNR IRIS Open Access | CNR IRIS Restricted


2023 Journal article Open Access OPEN
From unstructured texts to semantic story maps
Bartalesi V, Coro G, Lenzi E, Pagano P, Pratelli N
Digital maps greatly support storytelling about territories, especially when enriched with data describing cultural, societal, and ecological aspects, conveying emotional messages that describe the territory as a whole. Story maps are interactive online digital narratives that can describe a territory beyond its map by enriching the map with text, pictures, videos, and other multimedia information. This paper presents a semi-automatic workflow to produce story maps from textual documents containing territory data. An expert first assembles one territory-contextual document containing text and images. Then, automatic processes use natural language processing and Wikidata services to (i) extract key concepts (entities) and geospatial coordinates associated with the territory, (ii) assemble a logically-ordered sequence of enriched story-map events, and (iii) openly publish online story maps and an interoperable Linked Open Data semantic knowledge base for event exploration and inter-story correlation analyses. Our workflow uses an Open Science-oriented methodology to publish all processes and data. Through our workflow, we produced story maps for the value chains and territories of 23 rural European areas of 16 countries. Through numerical evaluation, we demonstrated that territory experts considered the story maps effective in describing their territories, and appropriate for communicating with citizens and stakeholders.Source: INTERNATIONAL JOURNAL OF DIGITAL EARTH (ONLINE), vol. 16 (issue 1), pp. 234-250
Project(s): MOVING via OpenAIRE

See at: CNR IRIS Open Access | ISTI Repository Open Access | ISTI Repository Open Access | www.tandfonline.com Open Access | CNR IRIS Restricted | CNR IRIS Restricted


2023 Journal article Open Access OPEN
D4SCIENCE: a unique infrastructure delivering virtual research environments as a service
Candela L, Castelli D, Pagano P
Nowadays, research challenges - often based on the collaborative analysis of a large amount of data - require suitable infrastructures and user-facing solutions promoting multidisciplinary collaboration and appropriate communication and sharing of data, processes, and outcomes. The D4Science infrastructure and its virtual research environments proved to be a viable and effective solution for many communities of practice and use cases.Source: ERCIM NEWS, vol. 133, pp. 6-7
Project(s): Blue Cloud via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: ercim-news.ercim.eu Open Access | CNR IRIS Open Access | ISTI Repository Open Access | CNR IRIS Restricted


2023 Journal article Open Access OPEN
The D4Science experience on virtual research environment development
Candela L, Castelli D, Pagano P
Today, complex research challenges, often based on the analysis of a large amount of data, require multidisciplinary collaboration and appropriate communication and sharing of data, processes and outcomes. Technologies and large-scale infrastructures provide stakeholders with computing capacity and data services to perform unprecedented levels of data-driven scientific activities. This opens the way to science gateways and virtual research environments supporting researchers in scientific and educational activities. This article describes our extensive experience with the Virtual Research Environments (VRE) operated by the D4Science infrastructure. It presents how this infrastructure supports their development, their basic functionalities and how they are easily customised to serve the needs of specific user communities. It also describes how they are used in real contexts. The article concludes by reporting how VREs are now progressively used as valuable instruments to support open science and how this role might become more relevant in the future.Source: COMPUTING IN SCIENCE & ENGINEERING, vol. 25 (issue 2)
Project(s): Blue Cloud via OpenAIRE, EOSC-Pillar via OpenAIRE, SoBigData-PlusPlus via OpenAIRE

See at: CNR IRIS Open Access | ieeexplore.ieee.org Open Access | ISTI Repository Open Access | CNR IRIS Restricted | CNR IRIS Restricted


2023 Journal article Open Access OPEN
ARIADNE Plus e il D4GNA-Dataset per il Geoportale Nazionale per l'Archeologia
Acconcia V, Boi V, Candela L, Falcone A, Mangiacrapa F, Massara F, Pagano P, Sinibaldi F
The article describes the experience of the D4GNA - Dataset for the National Geoportal for Archaeology born within the framework of the ARIADNEplus (Advanced Research Infrastructure for Archaeological Dataset Networking in Europe, plus) project, which ended last 31 December. The contribution starts from the broader context of the European project to delve into the world of Italian archaeological data; the technological solution, standardization, dema- terialisation and network sharing of data are the topics touched upon in this journey that illustrates the progress towards a virtuous objective: the Geoportale Nazionale per l'Archeologia, GNA. The GNA, created by the Istituto Centrale per l'Archeologia (ICA), released online july 10, 2023, is the national access point for receiving and consulting both archaeological interventions carried out under the scientific direction of the Ministry of Culture (MiC) as well as archaeological investigations conducted by universities and other re- search institutions.Source: DIGITALIA (ONLINE), vol. 1 (issue 2023), pp. 129-140
Project(s): ARIADNEplus via OpenAIRE

See at: digitalia.cultura.gov.it Open Access | CNR IRIS Open Access | ISTI Repository Open Access | CNR IRIS Restricted


2023 Conference article Open Access OPEN
Towards digital twins of territories through semantic story maps
Bartalesi Lenzi V., Coro G., Lenzi E., Pratelli N., Pagano P.
Digital maps greatly support storytelling about territories, especially when enriched with data describing cultural, societal, and ecological aspects, conveying emotional messages that describe the territory as a whole.Story maps are interactive online digital narratives that can describe a territory beyond its map by enriching themap with text, pictures, videos, and other multimedia information. This paper outlines how online story mapscan fill the gap between a map and a territory in narratives to create a digital twin of different territories asinter-connected semantic stories

See at: CNR IRIS Open Access | inm.cnr.it Open Access | ISTI Repository Open Access | CNR IRIS Restricted


2023 Journal article Open Access OPEN
Using semantic story maps to describe a territory beyond its map
Bartalesi Lenzi V., Coro G., Lenzi E., Pratelli N., Pagano P., Felici F., Moretti M., Brunori G.
The paper presents the Story Map Building and Visualizing Tool (SMBVT) that allows users to create story maps within a collaborative environment and a usable Web interface. It is entirely open-source and published as a free-to-use solution. It uses Semantic Web technologies in the back-end system to represent stories through a reference ontology for representing narratives. It builds up a user-shared semantic knowledge base that automatically interconnects all stories and seamlessly enables collaborative story building. Finally, it operates within an Open-Science oriented e-Infrastructure, which enables data and information sharing within communities of narrators, and adds multi-tenancy, multi-user, security, and access-control facilities. SMBVT represents narratives as a network of spatiotemporal events related by semantic relations and standardizes the event descriptions by assigning internationalized resource identifiers (IRIs) to the event components, i.e., the entities that take part in the event (e.g., persons, objects, places, concepts). The tool automatically saves the collected knowledge as a Web Ontology Language (OWL) graph and openly publishes it as Linked Open Data. This feature allows connecting the story events to other knowledge bases. To evaluate and demonstrate our tool, we used it to describe the Apuan Alps territory in Tuscany (Italy). Based on a user-test evaluation, we assessed the tool's effectiveness at building story maps and the ability of the produced story to describe the territory beyond the map.Source: SEMANTIC WEB (ONLINE), vol. 14 (issue 6), pp. 1255-1272

See at: content.iospress.com Open Access | CNR IRIS Open Access | ISTI Repository Open Access | ISTI Repository Open Access | CNR IRIS Restricted | CNR IRIS Restricted


2023 Other Metadata Only Access
The gCube geoportal platform
Candela L, Cirillo R, Mangiacrapa F, Pagano P, Sinibaldi F, Vannini G L
The gCube Geoportal platform is a component of the gCube open source software system conceived to support the creation and publication of georeferenced research objects, i.e. multi-part and multimedia research objects characterised by geospatial and temporal features. The Geoportal platform enables user communities to fully customise the data model characterising their instance by defining the structure, the content and the workflow of the potential research objects to be managed. `this report carefully describes the technology and documents how it was exploited to serve the development of a national catalogue for archaeological artifacts.DOI: 10.32079/isti-tr-2023/012
Project(s): ARIADNEplus via OpenAIRE, Blue Cloud via OpenAIRE
Metrics:


See at: CNR IRIS Restricted


2023 Other Metadata Only Access
InfraScience research activity report 2023
Artini M, Assante M, Atzori C, Baglioni M, Bardi A, Bosio C, Bove P, Calanducci A, Candela L, Casini G, Castelli D, Cirillo R, Coro G, De Bonis M, Debole F, Dell'Amico A, Frosini L, Ibrahim Ast, La Bruzzo S, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Molinaro E, Pagano P, Panichi G, Paratore Mt, Pavone G, Piccioli T, Sinibaldi F, Straccia U, Vannini Gl
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud via OpenAIRE, EOSC Future via OpenAIRE, TAILOR via OpenAIRE
Metrics:


See at: CNR IRIS Restricted


2023 Conference article Open Access OPEN
Blue-Cloud-2026, a Federated European Ecosystem to deliver FAIR & Open data and analytical services, instrumental for the Digital Twins of the Oceans
Schaap D, Pittonet Gaiarin S, Pagano P
The pilot Blue-Cloud H2020 project combined interests of developing a thematic marine EOSC cloud and serving the Blue Economy, Marine Environment and Marine Knowledge agendas. It deployed a versatile cyber platform with smart federation of multidisciplinary data repositories, analytical tools, and computing facilities in support of exploring and demonstrating the potential of cloud based open science for ocean sustainability, UN Decade of the Oceans, and G7 Future of the Oceans. The pilot Blue-Cloud delivered: 1) Blue-Cloud Data Discovery & Access service (DD&AS), 2) Blue-Cloud Virtual Research Environment infrastructure (VRE) and 3) Five multi-disciplinary Blue-Cloud Virtual Labs (VLabs). Since early 2023, Blue-Cloud 2026 aims at a further evolution into a Federated European Ecosystem to deliver FAIR & Open data and analytical services, instrumental for deepening research of oceans, EU seas, coastal & inland waters, and building a major data ground segment for the Digital Twins of the Oceans (DTO's). The EMODnet Data Ingestion portal plays a role in the pathways towards the EMODnet data portal. Specifically, the services it provides to data holders include: (a) data submission, with integrated services such as the online submission form, user management service, tracking service, (b) discovery and access, operating on the ingested and completed data submissions, and (c) operational data integration.

See at: CNR IRIS Open Access | oar.marine.ie Open Access | ISTI Repository Open Access | CNR IRIS Restricted


2023 Other Open Access OPEN
DESIRA D5.3 - Virtual Research Environment operation report years 3-4
Assante M, Candela L, Cirillo R, Dell'Amico A, Frosini L, Lelii L, Mangiacrapa F, Pagano P, Panichi G, Piccioli T
This deliverable D5.3 "Virtual Research Environment Operation Report years 3-4" is the revised and updated version of deliverable D5.2 "Virtual Research Environment Operation Report years 1-2". It describes the activities carried out during the DESIRA project within Work Package 5. Specifically, in Task 5.1 "Knowledge Infrastructure: the DESIRA Virtual Research Environment" and Task 5.2 "Integration of Services and Tools and Use Reporting". It reports the procedures governing the operation of the VREs as well as the status of the aggregated resources at the end of the project in the DESIRA infrastructure. Virtual Research Environments (VREs) are "systems" specifically conceived to provide their users with a web-based set of facilities (including services, data and computational facilities) to accomplish a set of tasks by dynamically relying on the underlying infrastructure. VREs are among the key products to be developed and delivered by the DESIRA project to support Project coordination, Living Labs activities and Rural Digitization Forums activities. The development of VREs is based on three main activities: (i) the development of software artefacts that realise a set of functions (including those needed for accessing specific datasets), (ii) the deployment of these artefacts in an operational infrastructure following the release procedures and tools, and (iii) the final deployment and operation of well-defined Virtual Research Environments by exploiting the facilities offered by the underlying D4Science infrastructure and its services [1, 2]. This report documents the last of the above three activities - i.e. the exploitation of the services and technologies offered by the underlying infrastructure to serve the needs of defined scenarios - as implemented in the context of the DESIRA project. The DESIRA Infrastructure Gateway offers end-user access to 14 VREs. As of May 2023, 14 VREs were created and operated. Specifically, the DESIRA Project VRE (cf. Sec 3.1.1) was created before the project kick-off. These VREs have served the needs of more than 390 users and more than 10.200 user sessions. This required dealing with 185 tickets (121 related to the project management, 43 requests for tasks, support and enhancements; 7 requests for incidents and bugs; 14 requests for VRE creations).Project(s): DESIRA via OpenAIRE

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2023 Other Open Access OPEN
FOSSR D7.2E - Call for tenders for ISTI hardware devices
Assante M, Pagano P, Piccioli T, Versienti L
The purpose of this document is to outline the hardware purchasing decisions made for the Pisa data centre. By conducting thorough market research, we have identified the most suitable hardware resources and determined the optimal methods for procurement that align with our requirements. After careful analysis, we have decided to adopt a dual purchasing approach. A portion of the hardware will be acquired through a CONSIP agreement, while the remaining portion (GPUs Server) will be obtained through a competitive bidding process.

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2023 Other Open Access OPEN
SoBigData.it D1.2 - Plan for the acquisition and installation of new computational resources
Pagano P, Assante M, Cirillo R, Dell'Amico A, Molinaro E, Piccioli T, Silvestri S, Passarella A, Bruno R, Cicconetti C, Davini M, Di Marco A, Di Pompeo D, Stilo G, Tucci M, Croce D, Palazzo S, Schembra G, Bujari A, Bellavista P, Virone G, Greco E, Gentile Af
The SoBigData Research Infrastructure (RI) has the ambition to support the rising demand for cross- disciplinary research and innovation on the multiple aspects of social complexity from combined data and model-driven perspectives and the increasing importance of ethics and data scientists' responsibility as a pillar of trustworthy use of Big Data and analytical technology. Digital traces of human activities offer a considerable opportunity to scrutinise the ground truth of individual and collective behaviour at an unprecedented detail and on a global scale. Work Package 1 (WP1) focuses on the creation of computational nodes within the SoBigData RI by connecting data centres to the RI network. This initiative aims to enhance the RI storage and computing capabilities, ensuring both short and long-term scalability, robustness, availability, and reliability of services. Furthermore, it integrates state-of-the-art nodes in the domains of pervasive computing and networking, as well as beyond 5G networks. These nodes are built using the latest-generation architectures and technologies, encompassing edge and far-edge devices, the Internet of Things (IoT), and next-generation networks. By adopting this comprehensive approach, SoBigData provides access to state-of-the-art data centres while embracing advanced solutions for decentralised data centres of the future. This decentralised infrastructure spans from the cloud to the network periphery, forming a continuum of distributed data processing and networking resources. This Deliverable documents the plan for the acquisition and installation of new computational resources. The deliverable consists of 5 sections: Section 1 briefly introduces the role of this deliverable and highlights the composition of the infrastructure and its organisation in a multi-site, comprising central and peripheral sites. Sections 2, 3, and 4 provide detailed plans for the acquisition and installation of computational and hardware resources related to green data centres, pervasive computing, and beyond 5G networks. Specifically, Section 2 outlines the plan for green data centres. Section 3 focuses on the plan for pervasive computing and networking nodes. Section 4 details the plan for implementing the architectural framework of the infrastructure representing the beyond 5G node. Finally the report concludes with Section 5.

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